Natural Language Generation – Thinks to Look Out for When Searching for an Enterprise Solution
Artificial intelligence (AI) is increasingly being used to automate every day activities that humans typically perform. One of the fastest-growing areas is Natural Language Generation (NLG). Multiple brands have dabbled in this exciting new arena where AI technology is being adopted to make it easier, quicker, and more efficient to create high-quality content. Enterprise-level organizations and customers prefer this technology.
Natural Language Generation is available for a wide range of uses, including content management teams, editors, writers, and companies alike. The growing effectiveness of automated content creation is quickly catching on with enterprise-level marketing departments.
Rudimentary Automated Content Solutions
When searching for Natural Language Generation solutions online, one invariably comes across terms like Article Spinner, or Article Writer. An ‘Article Spinner’ is a basic system capable of paraphrasing sentences, rewriting sentences, or rephrasing sentences. It can be used for paragraphs as well. The quality of such services depends on the audience being targeted, and the applications of the content. While such services may suffice for basic content generation, they may not be applicable for enterprise level solutions. Article Writers, or Re-writers are tools used by companies to rewrite articles, sentences, or paragraphs. These are especially useful when the same text needs to be replicated across multiple websites without any of it showing up as copied content.
Article Spinners may be a viable solution for a small and medium enterprise (SME), with minimal content requirements, but on an enterprise company level they present many problems. For one, there is a significant amount of post content creation work that needs to be undertaken. Editors, copy editors, and writers typically have to make adjustments, corrections, grammatical or stylistic modifications to the content after it has been churned out by these ‘machines’. It is an insuperable challenge for enterprise-level organizations since time and cost constraints, do not allow for multiple edits of poorly created content. As such, the above systems are not quite regarded as Natural Language Generation since they merely reorganize words, phrases, paragraphs, or content.
What Are You Looking for with Enterprise-Level Natural Language Generation Solution?
The value of AI technology in a one-man operation is less pronounced than it is with enterprise level organizations. The key elements to consider here are scope, complexity, volume, redundancy, product differentiation, et al. The greater the number of products and services provided by companies, the bigger the need for automated content creation services. The inherent complexity of providing highly detailed technical writing on thousands of products with only slight variations between them becomes a major bugbear when human content writers are involved.
On the grand stage, enterprise-level Natural Language Generation solutions adjust all content to meet with the highest possible standards of excellence vis-à-vis SEO, originality, content length, formatting, style, and accuracy. The complexity of operations at this level requires use of AI technology and dynamic learning on the part of the automated content management solution. The quality of the content is such that it can instantly reduce reliance on human content writers. Further it ensures that all deadlines are met, budgets are maintained, and timely updates of optimized content are delivered.
The ability to scale – produce large volumes of accurate, timely and converting content – is paramount at enterprise-level. The main difference between enterprise-level solutions and SMEs is creating conversational-style content en masse. It’s the volume that makes the world of difference. Bulk processing of content orders that meets with volume requirements, accuracy, readability, and converting potential are preferred at enterprise-level. When bulk data is input, and mounds of relevant content is churned out it becomes a viable solution for enterprises.
Various issues abound, including the timely delivery of accurate data, optimized keywords and meta content for on-page SEO purposes, and an ability to continually monitor for search engine algorithm updates, and tweak content accordingly. For example, the recent changes to expand meta-descriptions from 155 characters to 300 characters is a major SEO update that will prove exceptionally difficult for human content writers at enterprise-level. With AI technology and Natural Language Generation courtesy of companies like Phrasetech this process can be completed seamlessly.
The Phrasetech Solution to NLG for Enterprises
Phrasetech provides the most advanced Natural Language Generation solution available today. This technology is capable of efficiently creating, controlling, and optimizing bulk content. When content is created at scale by human content writers, it is subject to error, duplication, and problems associated with writer fatigue. Natural Language Generation eliminates these concerns by producing high-quality content at large scale. It also meets with human writing standards and reads precisely like human content. Phrasetech is the world’s only company that creates Natural Language Generation technology without a template. Everything that is created is authentic, and there is no repetition of content. Further, Phrasetech’s content is not rule-based; it creates contextual conclusions. In other words, it reads right every time.